50 citations · 57 across the 7 of their papers we have counts for
7 papers
Deep Learning-Based Electricity Price Forecast for Virtual Bidding in Wholesale Electricity Market
Xuesong Wang, Sharaf K. Magableh, Oraib Dawaghreh +4
Virtual bidding plays an important role in two-settlement electric power markets, as it can reduce discrepancies between day-ahead and real-time markets. Renewable energy penetrati…
A Two-Stage Optimal Bidding Algorithm for Incentive-based Aggregation of Electric Vehicles in Workplace Parking Lots
Zhongyang Zhao, Caisheng Wang
This paper proposes an incentive-based aggregator for electric vehicles (EVs) in workplace parking lots to participate in the energy and regulation markets. With the implementation…
Revenue Analysis of Stationary and Transportable Battery Storage for Power Systems with High Penetration of Renewable Sources: A Market Participant Perspective
Zhongyang Zhao, Caisheng Wang, Masoud H. Nazari
The power system needs more transmission capacity to deal with the increasing integration of renewable energy resources. The battery energy storage systems (BESSs) are effective to…
Data-driven Analysis of Regional Capacity Factors in a Large-Scale Power Market: A Perspective from Market Participants
Zhongyang Zhao, Caisheng Wang, Huaiwei Liao +1
A competitive wholesale electricity market consists of thousands of interacting market participants. Driven by the variations of fuel costs, system loads and weathers, these market…
Unbalanced Multi-Phase Distribution Grid Topology Estimation and Bus Phase Identification
Yizheng Liao, Yang Weng, Guangyi Liu +3
There is an increasing need for monitoring and controlling uncertainties brought by distributed energy resources in distribution grids. For such goal, accurate multi-phase topology…
Improvement to the Prediction of Fuel Cost Distributions Using ARIMA Model
Zhongyang Zhao, Chang Fu, Caisheng Wang +1
Availability of a validated, realistic fuel cost model is a prerequisite to the development and validation of new optimization methods and control tools. This paper uses an autoreg…
Improving Short-Term Electricity Price Forecasting Using Day-Ahead LMP with ARIMA Models
Zhongyang Zhao, Caisheng Wang, Matthew Nokleby +1
Short-term electricity price forecasting has become important for demand side management and power generation scheduling. Especially as the electricity market becomes more competit…